174 citations · 243 across the 19 of their papers we have counts for
19 papers
Video Frame Interpolation with Stereo Event and Intensity Camera
Chao Ding, Mingyuan Lin, Haijian Zhang +2
The stereo event-intensity camera setup is widely applied to leverage the advantages of both event cameras with low latency and intensity cameras that capture accurate brightness a…
"Seeing'' Electric Network Frequency from Events
Lexuan Xu, Guang Hua, Haijian Zhang +2
Most of the artificial lights fluctuate in response to the grid's alternating current and exhibit subtle variations in terms of both intensity and spectrum, providing the potential…
Learning to Super-Resolve Blurry Images with Events
Lei Yu, Bishan Wang, Xiang Zhang +4
Super-Resolution from a single motion Blurred image (SRB) is a severely ill-posed problem due to the joint degradation of motion blurs and low spatial resolution. In this paper, we…
Towards End-to-End Synthetic Speech Detection
Guang Hua, Andrew Beng Jin Teoh, Haijian Zhang
The constant Q transform (CQT) has been shown to be one of the most effective speech signal pre-transforms to facilitate synthetic speech detection, followed by either hand-crafted…
Robust ENF Estimation Based on Harmonic Enhancement and Maximum Weight Clique
Guang Hua, Han Liao, Haijian Zhang +2
We present a framework for robust electric network frequency (ENF) extraction from real-world audio recordings, featuring multi-tone ENF harmonic enhancement and graph-based optima…
Reliability of Power System Frequency on Times-Stamping Digital Recordings
Guang Hua, Qingyi Wang, Dengpan Ye +1
Power system frequency could be captured by digital recordings and extracted to compare with a reference database for forensic time-stamp verification. It is known as the electric…
Enhanced Time-Frequency Representation and Mode Decomposition
Haijian Zhang, Guang Hua
Time-frequency representation (TFR) allowing for mode reconstruction plays a significant role in interpreting and analyzing the nonstationary signal constituted of various modes. H…
Kernel Learning for High-Resolution Time-Frequency Distribution
Lei Jiang, Haijian Zhang, Lei Yu +1
The design of high-resolution and cross-term (CT) free time-frequency distributions (TFDs) has been an open problem. Classical kernel based methods are limited by the trade-off bet…
Robust Time-Frequency Reconstruction by Learning Structured Sparsity
Lei Jiang, Haijian Zhang, Lei Yu
Time-frequency distributions (TFDs) play a vital role in providing descriptive analysis of non-stationary signals involved in realistic scenarios. It is well known that low time-fr…
Improved Source Counting and Separation for Monaural Mixture
Yiming Xiao, Haijian Zhang
Single-channel speech separation in time domain and frequency domain has been widely studied for voice-driven applications over the past few years. Most of previous works assume kn…
A Time-Frequency Perspective on Audio Watermarking
Haijian Zhang
Existing audio watermarking methods usually treat the host audio signals of a function of time or frequency individually, while considering them in the joint time-frequency (TF) do…
Learning Cluster Structured Sparsity by Reweighting
Yulun Jiang, Lei Yu, Haijian Zhang +1
Recently, the paradigm of unfolding iterative algorithms into finite-length feed-forward neural networks has achieved a great success in the area of sparse recovery. Benefit from a…
Facial Feature Embedded CycleGAN for VIS-NIR Translation
Huijiao Wang, Li Wang, Xulei Yang +2
VIS-NIR face recognition remains a challenging task due to the distinction between spectral components of two modalities and insufficient paired training data. Inspired by the Cycl…
Frequency Estimation of Multiple Sinusoids with Three Sub-Nyquist Channels
Shan Huang, Haijian Zhang, Hong Sun +2
Frequency estimation of multiple sinusoids is significant in both theory and application. In some application scenarios, only sub-Nyquist samples are available to estimate the freq…
Line Spectral Estimation Based on Compressed Sensing with Deterministic Sub-Nyquist Sampling
Shan Huang, Hong Sun, Haijian Zhang +1
As an alternative to the traditional sampling theory, compressed sensing allows acquiring much smaller amount of data, still estimating the spectra of frequency-sparse signals accu…
Frequency Estimation of Multiple Sinusoids with Sub-Nyquist Sampling Sequences
Shan Huang, Hong Sun, Haijian Zhang +1
In some applications of frequency estimation, the frequencies of multiple sinusoids are required to be estimated from sub-Nyquist sampling sequences. In this paper, we propose a no…
A Class of Deterministic Sensing Matrices and Their Application in Harmonic Detection
Shan Huang, Hong Sun, Lei Yu +1
In this paper, a class of deterministic sensing matrices are constructed by selecting rows from Fourier matrices. These matrices have better performance in sparse recovery than ran…
An algorithm of frequency estimation for multi-channel coprime sampling
Shan Huang, Haijian Zhang, Hong Sun +1
In some applications of frequency estimation, it is challenging to sample at as high as the Nyquist rate due to hardware limitations. An effective solution is to use multiple sub-N…
Joint Frequency Estimation with Two Sub-Nyquist Sampling Sequences
Shan Huang, Hong Sun, Lei Yu +1
In many applications of frequency estimation, the frequencies of the signals are so high that the data sampled at Nyquist rate are hard to acquire due to hardware limitation. In th…